GenAI Architect

Job Title: GenAI Architect

Location: 100% Remote

Duration: 6 months +

Position Overview

We are seeking a highly experienced GenAI Architect to lead the assessment, design, and implementation of enterprise-scale Generative AI and Agentic AI solutions. This role requires a hands-on technical leader who can quickly understand complex business environments, identify high-impact AI opportunities, and drive end-to-end solution delivery from architecture through production deployment.

Key Responsibilities

• Assess client business processes, systems, data ecosystems, and operational challenges to identify high-value GenAI and Agentic AI use cases.
• Design and own the end-to-end solution architecture, including LLM selection, agent frameworks, RAG architecture, data ingestion strategies, integrations, security controls, evaluation frameworks, and cost optimization.
• Lead hands-on implementation efforts, establish engineering and prompt-engineering best practices, solve complex technical challenges, and drive rapid iterative development.
• Collaborate closely with business stakeholders, IT teams, security teams, and executive leadership to align objectives, manage expectations, and ensure successful project delivery.
• Define success metrics, monitor adoption and performance, and establish a sustainable post-production operating model that delivers measurable business outcomes and productivity gains.
• Provide technical leadership and guidance on enterprise AI governance, observability, reliability, scalability, and compliance.

Required Qualifications

Generative AI & Agentic AI Expertise

• Proven experience architecting and implementing scalable multi-agent AI systems using:

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• Large Language Models (LLMs)
• LangChain / LangGraph
• Agent Communication Protocols (ACP)
• Retrieval-Augmented Generation (RAG)
• Strong understanding of:
• Agent design patterns
• Workflow orchestration
• Context and memory management
• Prompt engineering
• Tool integration
• AI observability and monitoring
• Governance, security, and reliability frameworks

Technical Skills

• Advanced proficiency in Python development
• Experience building data ingestion pipelines and data processing workflows
• Hands-on experience with Vector Databases and semantic search architectures

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• Strong understanding of API integrations and enterprise system connectivity

Cloud & AI Platforms

• Hands-on experience with:
• Azure AI Foundry
• Azure AI Services
• Azure OpenAI
• Experience with comparable AI platforms such as AWS Bedrock, Google Vertex AI, or similar enterprise AI ecosystems is highly desirable.

Preferred Qualifications

• Experience deploying AI solutions in production enterprise environments.
• Strong understanding of AI security, governance, and responsible AI practices.
• Experience measuring ROI and business impact of GenAI initiatives.
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Why Join?

This is an opportunity to lead a high-impact GenAI transformation initiative, influence enterprise AI strategy, and build production-ready Agentic AI solutions that deliver measurable business value.